Project description
Building up smart manufacturing with artificial intelligence
Manufacturing has seen many developments over the years, and has been an essential part of most industries. Now, smart manufacturing is set to be the next step in its evolution. This allows increased competitiveness for organisations and increased support throughout the many processes included. Unfortunately, the AI technologies currently used for smart manufacturing lack self-adaptiveness and are mostly tasked with specific predefined settings. The EU-funded "TEAMING.AI" project aims to make a breakthrough in smart manufacturing. By introducing a new human and AI teaming framework, manufacturing processes will be optimised: the greatest strengths of both these elements can be maximised while safety and ethical compliance guidelines are examined and maintained.
Objective
Smart Manufacturing is believed to play a critical role in maintaining the competitiveness of organisations, by supporting them at different levels such as process optimisation, resource efficiency, predictive maintenance and quality control. Nevertheless, AI technologies which are currently and rapidly penetrating industrial sectors at those levels remain essentially narrow AI systems. This is due to the lack of self-adaptiveness in the AIs capability to assimilate and interpret new information outside of its predefined programmed parameters. This mean that AI systems are tailored for solving specific tasks on a specific predefined setting and changes in the underlying setting usually requires system adaption ranging from fine-grained parameter adaptations to fully-fledged re-design and re-development of AI systems.
TEAMING_AI project aims at a human AI teaming framework that integrates the strengths of both, the flexibility of human intelligence and scale-up capability of machine intelligence. Human AI teaming is equally motivated to meet the increased need for flexibility in the maintenance and further evolution of AI systems, driven by the increasing personalization of products and service, as well as tackling the barriers of user acceptance and ethical challenges involved in the collaborative environments where artificial intelligence will be used, in order AI can be considered as “teammate” rather than as a threat.
The TEAMING.AI project will be run over 36 months with a work plan divided into 9 Work Packages. Work Packages from 1 to 5 are devoted to the development of new technology to enhance the interaction between human and machine. Furthermore, Work Packages 6 and 7 wrap the development of 3 use case scenarios. Finally, two final Work Packages (8 and 9) will work respectively on the dissemination, exploitation of results and coordination of the project in a transversally way to the above mentioned WPs.
Fields of science
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
4232 HAGENBERG
Austria
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Participants (15)
60131 Ancona An
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
68161 Mannheim
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20870 Elgoibar
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Participation ended
46022 Valencia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
46470 ALBAL VALENCIA
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341 00 Chalkis
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
34467 Sariyer, Istanbul
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41420 Kocaeli
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08017 Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1000 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20820 Deba
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1020 Wien
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D07 EWV4 Dublin
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4407 STEYR GLEINK
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46021 Valencia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.